Cluster-Based Intrusion Detection System (CIDS) for Enhancing Security in Mobile Ad Hoc Networks (MANETs)

Mobile Ad-hoc Network (MANET) various mobile nodes moves from one location to another location dynamically with in transmission range. MANETs are popular for critical applications like military use or disaster recovery because of the nodes' capacity to self-configure. Most of the developed protocols assume that every nodes in the network are mutual, and do not address any security issue. To adjust to such development, it is essential to address its probable security issues. The nature of dynamic topology in mobile ad hoc networks raises serious security concerns. In order to choose the leader nodes or cluster head dynamically depending on store capacity and power support, we have described the design and testing of dynamic cluster-based intrusion detection systems (IDS) in this technical research study. Another maximum forward capacity leader node is chosen based on the aforementioned resource limits in the event that a specific organizer node abruptly leaves the transmission range. Compared to other networks, MANET is more susceptible to attacks, and different types of attacks are limited to the network's functionality. MARS4, a hybrid cryptographic technique that combines the RSA and MAJE4 algorithms, is used to securely transmit data over the MANET using the Dynamic Source Routing (DSR) routing protocol. The proposed system is implemented and analyzed using Network Simulator (NS2). In addition to offering secure transmission, our suggested hybrid cryptography lowers routing overhead, increases packet delivery ratio and throughput, and efficiently uses bandwidth.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-05
DOI
https://doi.org/10.5281/zenodo.15152875
Primary Topic
Mobile Ad Hoc Networks
Type
article
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article

Cluster-Based Intrusion Detection System (CIDS) for Enhancing Security in Mobile Ad Hoc Networks (MANETs)

Zenodo (CERN European Organization for Nuclear Research)
Mobile Ad Hoc Networks
article

Cluster-Based Intrusion Detection System (CIDS) for Enhancing Security in Mobile Ad Hoc Networks (MANETs)

article en

Abstract

Mobile Ad-hoc Network (MANET) various mobile nodes moves from one location to another location dynamically with in transmission range. MANETs are popular for critical applications like military use or disaster recovery because of the nodes' capacity to self-configure. Most of the developed protocols assume that every nodes in the network are mutual, and do not address any security issue. To adjust to such development, it is essential to address its probable security issues. The nature of dynamic topology in mobile ad hoc networks raises serious security concerns. In order to choose the leader nodes or cluster head dynamically depending on store capacity and power support, we have described the design and testing of dynamic cluster-based intrusion detection systems (IDS) in this technical research study. Another maximum forward capacity leader node is chosen based on the aforementioned resource limits in the event that a specific organizer node abruptly leaves the transmission range. Compared to other networks, MANET is more susceptible to attacks, and different types of attacks are limited to the network's functionality. MARS4, a hybrid cryptographic technique that combines the RSA and MAJE4 algorithms, is used to securely transmit data over the MANET using the Dynamic Source Routing (DSR) routing protocol. The proposed system is implemented and analyzed using Network Simulator (NS2). In addition to offering secure transmission, our suggested hybrid cryptography lowers routing overhead, increases packet delivery ratio and throughput, and efficiently uses bandwidth.

Zenodo (CERN European Organization for Nuclear Research)
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Mobile Ad Hoc Networks
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Cluster-Based Intrusion Detection System (CIDS) for Enhancing Security in Mobile Ad Hoc Networks (MANETs) · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS